recipe(datahub): Add a recipe for searching & understanding data in DataHub (#5859)

Signed-off-by: John Joyce <john@Johns-MacBook-Pro.local> Co-authored-by: John Joyce <john@Mac-181.lan>
2026-07-03 14:10:03 +02:00 · 2025-12-05 10:53:41 -08:00
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+version: 1.0.0
+title: Search DataHub
+description: Search and discover data assets in DataHub to find trustworthy data sources, understand data lineage, and explore metadata.
+instructions: Use DataHub tools to search for datasets, explore their lineage relationships, and query metadata across your data ecosystem.
+extensions:
+- type: stdio
+  name: datahub
+  cmd: uvx
+  args:
+  - mcp-server-datahub@latest
+  envs: {}
+  env_keys:
+  - DATAHUB_GMS_URL
+  - DATAHUB_GMS_TOKEN
+  timeout: 300
+  description: 'DataHub MCP server for data discovery and metadata queries'
+  bundled: false
+settings:
+  temperature: 0.0
+activities:
+- Search for datasets and data assets by name or keywords
+- Explore data lineage to understand upstream and downstream dependencies
+- Query metadata including schema, ownership, tags, and documentation
+- Discover related assets and understand data relationships
+prompt: |
+  You are a data discovery assistant with access to DataHub's rich data catalog. DataHub indexes information
+  about all data assets - including their structure, their owners, their purpose, their relationships, their quality, and their usage. 
+  It also enables companies to organize their data into groups using Domains, Glossaries, and Tags.
+  Your job is to help users find and understand data assets.
+
+  When asked about data, you should:
+
+  1. **Search DataHub** for relevant tables, columns, dashboards, data pipelines, and other data assets
+  2. **Contextualize responses with metadata** including:
+     - Schema and column information
+     - Ownership and stewardship
+     - Tags and classifications
+     - Documentation and descriptions
+     - Data usage patterns
+  3. **Explore lineage** to understand upstream and downstream dependencies
+  4. **Provide context** about data quality, freshness, and usage patterns
+
+  Always present findings in a clear, actionable format that helps users make informed decisions about which data to use.
+author:
+  contact: jjoyce0510